AI, weather forecasting and data science would all benefit from computers that store and process data in the same place. Memristors could be up to the task.|Medium Read

DARPA’s initiative to reinvigorate the microelectronics industry draws deeply on Michigan Engineering expertise.|Medium Read

Transmuter can change how programs use the hardware available to them in real time, effectively acting as a reconfigurable computer.|Medium Read

The speedy and efficient system-on-chip could unify wireless communication.|Medium Read

Six-month hardware design process will be turned into 24-hour automated task.|Medium Read

Foofah is a tool that can help to minimize the effort and required background knowledge needed to clean up data.|Medium Read

The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.|Medium Read

Jie Song devised a method to combine summarized datasets that group information by incompatible units.|Short Read

The latest from IBM and now the University of Michigan is redefining what counts as a computer at the microscale.|Short Read

This award is given to the VLDB paper published ten years earlier that has had the most influence since its publication. |Short Read

A new approach recreates the power of a large server by linking up and pooling the resources of smaller computers with fast networking technology.|Medium Read

The researchers identified movement between industry, academia, and government work, tracked the growth of important organizations, and built predictive models for career transitions and employer retention.|Medium Read